Smart grow: Machine Learning for Sustainable Agriculture Innovation

Smart grow: Machine Learning for Sustainable Agriculture Innovation

P. Vishnu , D. Vishnu Teja, S. Vishnu Teja ,V. Rama Krishna, CH. Vishnuvardhan Reddy (Students)

Prof. G. Teja Sree (Guide)

School of Engineering Department of AIML.

Malla Reddy University, Hyderabad.

1.ABSTRACT:

Agriculture faces significant challenges due to climate change, resource depletion, and volatile market conditions, threatening global food security. Smart Grow: Machine Learning for Sustainable Agriculture Innovation leverages advanced AI-driven analytics to provide farmers with actionable insights for enhanced productivity and sustainability. The system features a crop recommendation model, analysing soil nutrients and weather conditions for optimal planting decisions. A disease detection tool identifies plant diseases from leaf images and suggests treatments, minimizing crop loss. The yield prediction model forecasts productivity based on resource availability, aiding in efficient farm management. Additionally, market price prediction helps farmers determine the best time to sell their produce. With an interactive map-based soil testing locator, Smart Grow promotes precision farming, merging modern technology with traditional practices to improve sustainability, resource management, and profitability.

Keywords— Machine Learning, Precision Farming, Smart Agriculture, Crop Recommendation, Disease Detection, Yield Forecasting, Market Price Prediction, Soil Health Analysis